STSURVIMPUTE: Stata module for flexible imputation of censored survival data
stsurvimpute singly imputes censored observation-times using a parametric survival model. Available basic parametric models are Weibull, log-logistic and lognormal; also supported are Royston-Parmar flexible parametric models, implemented by stpm2. Variables in varlist constitute a prognostic model that is used for predicting individual imputed survival times. Such a model should make the imputations more accurate than using only the overall distribution.
|Requires:||Stata version 10|
|Date of creation:||22 Jan 2011|
|Date of revision:|
|Note:||This module should be installed from within Stata by typing "ssc install stsurvimpute". Windows users should not attempt to download these files with a web browser.|
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